Medical images play a vital role in preoperative decision making, as they can assist radiologists to determine the OARs boundaries. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are widely used non-invasive imaging methods for HAN. Delineating the boundaries of tens of OARs from HAN CT scans is one crucial step in radiotherapy treatment planning, and manual delineation is tedious and time consuming and likely to have high inter- and intra-observer variations. Automated segmentation of OARs can save radiologists time and has a potential to provide an accurate and reliable solution [1]}.
